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We perform a detailed Hopf bifurcation analysis to the model, and derive conditions for determining the bifurcation direction and the stability of the bifurcating periodic solutions.. Th

Trang 1

R E S E A R C H Open Access

Bifurcation analysis of a diffusive model of

pioneer and climax species interaction

Jianxin Liu and Junjie Wei*

* Correspondence: weijj@hit.edu.cn

Department of Mathematics,

Harbin Institute of Technology,

Harbin, Heilongjiang 150001, PR

China

Abstract

A diffusive model of pioneer and climax species interaction is considered We perform a detailed Hopf bifurcation analysis to the model, and derive conditions for determining the bifurcation direction and the stability of the bifurcating periodic solutions

Keywords: pioneer and climax, Hopf bifurcation, diffusive model

1 Introduction

We consider the following model:



u t = d1u + uf (c11u + v),

where xÎ Ω, t > 0, and u, v represent a measure of a pioneer and a climax species, respectively f(z), the growth rate of the pioneer population, is generally assumed to be smoothly deceasing, and has a unique positive root at a value z1 so that the crowding

is particularly harmful for pioneer species But for the climax population, it is different from pioneer population Climax fitness increases at low total density but decreasing at higher densities So that, it has an optimum value of density for growing Hence, g(z), the growth rate of the climax population, is assumed to be non-monotone, has a hump, and possesses two distinct positive roots at some values z2 and z3, with z2 <z3

and g’(z2) > 0 >g’(z3) For the reason above, we set

f (c11u + v) = z1− c11u − v,

in this article

Equation (1.1) is often used to describe forestry models Examples can be found in [1,2] and references therein The dynamics of pioneer-climax models have been studied widely Systems described by ordinary differential equations are under the hypothesis

of homogeneous environment The stability of positive equilibrium and bifurcation, especial Hopf bifurcation are the subject of many investigations More recently, the environmental factors are introduced to the pioneer-climax systems Models including diffusivity (i.e systems described by reaction-diffusion equations) have been considered The existence of positive steady state solutions are the subject of investigations

© 2011 Liu and Wei; licensee Springer This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium,

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In addition, traveling wave solutions are the most interesting problem The readers can

get some results from [3] In bifurcation problems, Buchanan [4] has studied Turing

instability in a pioneer/climax population interaction model He determined the values

of the diffusional coefficients for which the model undergoes a Turing bifurcation, and

he show that a Turing bifurcation occurs when an equilibrium solution becomes

unstable to perturbations which are nonhomogeneous in space but remains stable to

spatially homogeneous perturbations Hopf bifurcation for diffusive pioneer-climax

spe-cies interaction has not been studied Our study will be performed in Hopf bifurcation

The rest of this article are structured in the following way: in Section 2, the condi-tions of the existence of positive equilibrium are given The critical values of the

para-meter for Hopf bifurcation occurring are also searched And the stability and direction

of the bifurcating periodic solutions atl1are studied In Section 3, some conclusions

are stated

2 Hopf bifurcation analysis

In this section, we consider the following model:



u t = d1u + u(z1− c11u − v),

Clearly, it has one trivial equilibrium (0, 0), and three semitrivial equilibria (z1/c11,0), (0, z2/c22), and (0, z3/c22) There also has two nontrivial equilibria E1, E2:

E1=



z2− c22z1

1− c11c22

,z1− c11z2

1− c11c22

 , E2=



z3− c22z1

1− c11c22

,z1− c11z3

1− c11c22



As in [4], in the following, we will limit our analysis to the case z3 >z2and z1 >c11z2,

z2>c22z1 Immediately, the condition c11c22< 1 follows as a consequence, and then E1

is a constant positive equilibrium If there has additional condition that z1 >c11z3, then

E2 is an another constant positive equilibrium E1, E2 are also positive equilibria for

Equation (2.1) without diffusion, and when E2 exists, it is unstable In fact, the linear

system at E2= (u*, v*) has the form



u t

v t



= L



u v



=



c11uf(c11u+ v) uf(c11u+ v∗)

vg(z3) c22vg(z3)



For f’ (c11u* + v*) = -1 and g’(z3) = z2 - z3, then the trace and determinant of L are

tr L = −c11u+ c22v(z2− z3)< 0, det L = (1 − c11c22)uv(z2− z3)< 0,

which imply that L has a positive eigenvalue, and then E2 is unstable Hence, the researchers are concerned more about the dynamics at E1 In the corresponding

diffu-sion system, the dynamics at E1 is richer than that at E2 Hence, we take our attention

to the equilibrium E1 In [4], Turing instability has been studied thoroughly The effect

on the stability due to the diffusion is analyzed In this article, we pay attention to

Hopf bifurcation bifurcated by E1 We investigate on the effect on the stability due to

the diffusion In other words, diffusion driving Hopf bifurcation is studied

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Denote l = z2- c22z1 With the conditions above, we have thatl <z3- c22z1 and 0 <

l < (1 - c11c22) z1/c11 Hence, the domain of the parameterl is 0 <l < min{z3 - c22z1,

(1 - c11c22) z1/c11} In this article, we choose l as a main bifurcation parameter and

consider the complicated dynamic behavior near the fixed point E1 with the effect of

diffusion

For convenience, we first transform the equilibrium E1 = (u*, v*) to the origin via the translation ˆu = u − λ/(1 − c11c22), ˆv = v − (z1− c11λ/(1 − c11c22)) and drop the hats

for simplicity of notation, then system (2.1) is transformed into



u t = d1u + a11u + a12v + f (u, v),

where

a11=−c11u∗, a12=−u∗, a

21 =¯zv∗, a

22= c22¯zv∗,

and

¯z =z3− u− c22v∗,

f (u, v) = − c11u2− uv, g(u, v) =( ¯z − 2c22v)uv + (c22¯z − c2

22v)v2

− vu2− u2v − 2c22uv2− c2

22v3

In the following, we consider system (2.2) on spatial domainΩ = (0, ℓπ), ℓ Î ℝ+

with Dirichlet boundary condition

u(0, t) = u( π, t) = 0, v(0, t) = v(π, t) = 0, t > 0.

Define the real-valued Sobolev space

X := {(u, v) | u, v ∈ H2(0,π), (u, v) | x=0, π = 0}, and the complexification of X by Xℂ = X + iX = {x1 + ix2|x1, x2 Î X}

The linearized operator of system (2.2) evaluated at (0, 0) is

L :=



a11+ d12/∂x2 a12

a21 a22+ d22/∂x2



and accordingly we define (denote μn, nÎ N are the eigenvalues of the eigenvalue problem -Δj = μj, j(0) = j(ℓπ) = 0)

L n:=



a11− d1μ n a12

a21 a22− d2μ n

 Then, the characteristic equation of Ln(l) is

where



T n = a11+ a22− (d1+ d2)μ n,

D n = a11a22− a12a21− (d1a22+ d2a11)μ n + d1d2μ2

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More immediately, let Tn, Dnbe expressed by expression with parameterl:

T n(λ) = −(d1+ d2)μ n+ c11c22

1− c11c22λ2−



2c22z1+c11c22z3− c22z1+ c11

1− c11c22



λ +c22z1(z3− c22z1),

D n(λ) = d1d2μ2

n

d1

c11c22

1− c11c22λ2− c22d1



2z1+ c11z3− z1

1− c11c22



λ +c22d1z1(z3− c22z1)− d2

c11λ

1− c11c22

μ n+ c11

1− c11c22λ3



2z1+ c11z3− z1

1− c11c22



λ2+ z1(z3− c22z1)λ.

According to [5], we have Lemma 2.1 Hopf bifurcation occurs at a certain critical value l0 if there exists unique n Î N such that

T n(λ0) = 0, D n(λ0)> 0 and T j(λ0)= 0, D j(λ0)= 0 for j = n; (2:4) and for the unique pair of complex eigenvalues near the imaginary axisa(l) ± iω (l), the transversality condition a’(l0)≠ 0 holds

Let us consider the sign of Dn(l) first Denote ¯λ = min{z3− c22z1, (1− c11c22)z1/c11} Clearly, ¯λ = z3− c22z1 if c11z3 >z1 and ¯λ = (1 − c11c22)z1/c11 if c11z3 >z1 We will

prove that there exists N1Î N such that Dn(l) > 0 for all λ ∈ (0, ¯λ) and n >N1under

some simple conditions

Lemma 2.2 If z1 ≤ c11z3/2 or z1 ≥ 2c11z3, then Dn(l) > 0 for allλ ∈ (0, ¯λ)and n>N1, where N1 Î N such that μn>c22z1(z3- c22z1)/d2for n>N1

Proof First, we claim that Dn(0) > 0, D nλ) > 0for all n >N1 Directly calculating,

we have

D n (0) = d1d2μ2

n − c22d1z1(z3− c22z1)μ n > 0,

D nλ) =

d1d2μ2

n + d2μ n

c11(z3− c22z1)

1− c11c22 > 0 if ¯λ = z3− c22z1,

d1d2μ2

n + d2μ n z1> 0 if ¯λ = (1 − c11c22)z1/c11 Next, we prove that for all λ ∈ (0, ¯λ), Dn(l) > 0 if Dn(0) > 0, D nλ) > 0 satisfied

From the expression of Dn(l), we have Dn(l) ® +∞ when l ® +∞ and Dn(l) ® - ∞

whenl ® - ∞, and Dn(l) has two inflection points for any fixed n Î N We only need

to prove that 0 and ¯λ are in the same side of the second inflection point

Differentiat-ing Dn(l) with respect to l for fixed n, we have

Dn(λ) = aλ2+ b λ + c,

where

a = 3c11

1− c11c22

,

b = −2z1− 2c11(z3− c22z1)

1− c11c22 − 2d1μ n

c11c22

1− c11c22

,

c = z1(z3− c22z1)− c22d1μ n



2z1+ c11z3− z1

1− c c



+ d2μ n

c11

1− c c .

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The axis of symmetry of Dn(λ) is

λmin= 1 3

(z3− c22z1) +1− c11c22

c11

z1+ c22d1μ n

> 0.

If z1 ≤ c11z3/2, then λmin≥ ¯λ = (1 − c11c22)z1/c11 Else if z1 ≥ 2c11z3, then

λmin≥ ¯λ = z3− c22z1 That is,0< ¯λ ≤ λmin, 0 and ¯λ are in the same side of the

sec-ond inflection point and the proof is complete

Next, we seek the critical points λ ∈ (0, ¯λ) such that Tn= 0 Define

T (λ, p) := − (d1+ d2)p + c11c22

1− c11c22λ2−



2c22z1+c11c22z3− c22z1+ c11

1− c11c22



λ + c22z1(z3− c22z1)

Then, Tn(l) = 0 is equivalent toT (λ, p) = 0 Solving p fromT (λ, p) = 0, we have

p( λ) = 1

d1+ d2

c11c22

1− c11c22λ2−



2c22z1+ c11c22z3− c22z1+ c11

1− c11c22



λ +c22z1(z3− c22z1)

Immediately,

d1+ d2

c22z1(z3− c22z1)> 0,

p(¯ λ) =

d1+ d2 ·c11(z3− c22z1)

1− c11c22 < 0 if ¯λ = z3− c22z1,

z1

d1+ d2 < 0 if ¯λ = (1 − c11c22)z1/c11 Lemma 2.3 Denote N2∈be the number such that μ N2 ≤ p(0) < μ N2 +1 Then, there exists N2 points li, i = 1,2, , N2, satisfying ¯λ > λ1> λ2> · · · > λ N2 ≥ 0, such

that Ti(lj) < 0 for i <j, and Ti(lj) > 0 for i <j, i = 1,2, , 1≤ j ≤ N2

Lemma 2.4 Suppose li, 1≤ i ≤ N2 be defined as in Lemma 2.3 Ifa(li) ± iω(li)be the unique pair of complex eigenvalues near the imaginary axis, thena’(li) < 0

Theorem 2.5 Suppose the condition of Lemma 2.2 is satisfied and li, 1≤ i ≤ N2 be defined as in Lemma 2.3 Then, Hopf bifurcation occurs at liif

μ i < d2− d1

d1(d1+ d2)· c11λ i

1− c11c22

where N1, N2are defined as before

Proof We need to show that Dn(li) > 0, nÎ N, then Lemma 2.1 could be used First,

Ti(li) = 0 gives

(d1+ d2)μ i+ c11λ i

1− c11c22

= c11c22

1− c11c22λ2

i − c22



2z1+c11z3− z1

1− c11c22



λ i + c22z1(z3− c22z1)

Now, Dn(li) could be expressed as

D n(λ i ) =d1d2μ2

n



d21μ i + d1d2μ i + (d1− d2) c11λ i

1− c11c22



μ n

+ c11

1− c11c22λ3

i



2z1+c11z3− z1

1− c11c22



λ2

i + z1(z3− c22z1)λ i

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D(λ i , p) =d1d2p2−



d21μ i + d1d2μ i + (d1− d2) c11λ i

1− c11c22



p

+ c11

1− c11c22λ3

i



2z1+ c11z3− z1

1− c11c22



λ2

i + z1(z3− c22z1)λ i

Clearly,D(λ i, 0)> 0and the axis of symmetry ofD(λ i , p)is

pmin= d

2μ i + d1d2μ i + (d1− d2)c11λ i/(1− c11c22)

2d1d2

The condition in the theorem ensure pmin < 0, which lead toD(λ i , p) > 0for p > 0

Hence, Dn(li) > 0 andliare Hopf bifurcation points

Remark2.6 Theorem 2.5 gives a sufficient condition for Hopf bifurcation occurring

From the proof of Theorem 2.5, we see that the inequality (2.5) is stringent We

con-sider thatD(λ i , p)is continuous with respect to p, but Dn(li) is a set of discrete values

Hence, we need not to ensure that the inequality (2.5) is always satisfied in some

sim-ple case For instance, N2 = 1 Example 2.8 exactly demonstrates this feature

In the following, we take attention to the stability and direction of bifurcating peri-odic solutions bifurcated atl1

We give the detail of the calculation process of the direction of Hopf bifurcation at

l1 in the following It is obvious that ±iω, with ω =D1(λ1), are the only pair of

sim-ple purely imaginary eigenvalues of L(l1) We need to calculate the Poincaré norm

form of (2.2) forl = l1:

˙z = iωz + z

M



j=1

c j (z¯z) j,

where z is a complex variable, M ≥ 1and cjare complex-valued coefficients The direction of Hopf bifurcation at l1 is decided by the sign of Re(c1), which has the

fol-lowing form:

c1= i

2ω



g20g11− 2 | g11|2−1

3 | g02|2

 +1

2g21.

In the following, we will calculate g20, g11, g02, and g21 We recall that

f (u, v) = − c11u2− uv, g(u, v) =( ¯z − 2c22v)uv + (c22¯z − c2

22v)v2

− vu2− u2v − 2c22uv2− c2

22v3 Notice that the eigenvalues μn= n2/ℓ2

, n = 1,2, , the corresponding eigenfunction are sin(nx/ℓ) in our problem Hence, we set q = (a, b)T

sin(x/ℓ) be such that L(l1)q =

iωq and let q* = M(a*, b*)T

sin(x/ℓ) be such that L(l1)Tq* = -iωq*, and moreover, 〈q*, q〉 = 1 andq∗,¯q = 0 Here

u, v =



0 ¯u T vdx, u, v ∈ X

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be the inner dot and

a = b∗= 1, b = iω + d1μ1− a11

a12

, a∗= −iω + d2μ1− a22

a12

ia12 Express the partial derivatives of f(u, v) and g(u, v) at (u, v) = (0, 0) with respect tol whenl1, we have

f uu=−c11, f uv=−1, g uv = z3− 3c22z1+λ1(3c11c22− 1)

1− c11c22

,

g uu=−z1+ c11λ1

1− c11c22

, g vv = c22(z3− 2c22z1) +c22λ1(2c11c22− 1)

1− c11c22

,

g vvv=−c2

22, g uuv=−1, g uvv=−2c22, and the others are equal to zero As stated in [5,6], we need to calculate Q qq , Q q ¯q, and C qq ¯q, which are defined as

Q qq= sin2(x/ )



c d

 , Q q ¯q= sin2(x/ )



e f

 , C qq ¯q= sin3(x/ )



g h

 ,

where

c = f uu a2+ 2f uv ab + f vv b2, d = g uu a2+ 2g uv ab + g vv b2,

e = f uu | a|2+ f uv (a¯b + ¯ab) + f vv | b|2, f = g uu | a|2+ g uv (a¯b + ¯ab) + g vv | b|2,

g = f uuu | a|2a + f uuv(2| a|2b + a2¯b) + f uvv(2| b|2a + b2¯a) + f vvv | b|2b,

h = g uuu | a|2a + g uuv(2| a|2b + a2¯b) + g uvv(2| b|2a + b2¯a) + g vvv | b|2b.

From direct calculation, we have

q, Q

qq =4 ¯M

3 (¯a∗c + d), q, Q

q ¯q =4 ¯M

3 (¯a∗e + f ),

¯q, Q

qq =4M

3 (a

c + d), ¯q, Q

q ¯q =4M

3 (a

Then, we have (the detail meaning of the following parameters are stated in [6,5])

H20= Q qq − q, Q

qq q − ¯q, Q

qq ¯q

= 1

2(1− cos(2x/))



c d



q, Q

qq



a b



− ¯q, Q

qq



¯a

¯b



sin(x/ )

=



k=1

−8

(2k − 1)(2k + 1)(2k − 3)π



c d



sin((2k − 1)x/)

q, Q

qq

 1

b



− ¯q, Q

qq

 1

¯b



sin(x/ )

(2:7)

and

H11= Q q ¯q − q, Q

q ¯q q − ¯q, Q

q ¯q ¯q

= 1

2(1− cos(2x/))



e f



q, Q

q ¯q



a b



− ¯q, Q

q ¯q

¯a

¯b



sin(x/ )

=



k=1

−8

(2k − 1)(2k + 1)(2k − 3)π



e f



sin((2k − 1)x/)

q, Q

q ¯q

 1

b



− ¯q, Q

q ¯q

 1

¯b



sin(x/ ).

(2:8)

Therefore, we can obtain w20, w11as

w20 = [2i ωI − L(λ1)]−1H20 and w11=−[L(λ1)]−1H11

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Clearly, the calculation of (2iωI - L(l1))-1and [L(l1)]-1are restricted to the subspaces spanned by the eigenmodes sin(kx/ℓ), k = 1,2, One can compute that

(2i ωI − L k(λ1))−1

= (α k

1+ i α k

2)−1



2i ω − a22+ d2μ k a12

a21 2i ω − a11+ d1μ k

 ,

L−1k (λ1) = 1

α k

3



a22− d2μ k −a12

−a21 a11− d1μ k

 , where

α k

1=−4ω2+ a11a22− a12a21− (d1a22+ d2a11)μ k + d1d2μ2

k,

α k

2=−2ω(a11+ a22) + 2ω(d1+ d2)μ k,

α k

3= a11a22− a12a21− (d2a11+ d1a22)μ k + d1d2μ2

k Then,

w20=



k=1

−8 sin((2k − 1)x/) (2k − 1)(2k + 1)(2k − 3)π (2i ωI − L 2k−1(λ1 ))−1



c d



− (2iωI − L1 (λ1 ))−1

q, Q

qq



a b



− ¯q, Q

qq

¯a

¯b



sin(x/ )

=



k=1

−8 sin((2k − 1)x/)(2k − 3)−1

(4k2− 1)(α 2k−1

1 + i α 2k−1



(2i ω − a22+ d2μ 2k−1 )c + a12d

a21c + (2i ω − a11+ d1μ 2k−1 )d



− 1

α1+ i α1



(2i ω − a22+ d2μ1 )ξ1+ a12ξ2

a21ξ1+ (2i ω − a11+ d1μ1 )ξ2



sin(x/ ),

w11=



k=1

−8 sin((2k − 1)x/)

α 2k−13 (4k2− 1)(2k − 3)π



(a22− d2μ 2k−1 )e + a12f

a21e − (a11− d1μ 2k−1 )f



α11



−(a22− d2μ1 )ξ3+ a12ξ4

a21ξ3− (a11− d1μ1 )ξ4



sin(x/ ),

where

ξ1=q, Q

qq a − ¯q, Q

qq ¯a = 4c 

3 (¯a∗¯M − aM) + 4d 

3 ( ¯M − M),

ξ2=q, Q

qq b − ¯q, Q

qq ¯b = 4c 

3 (b¯a¯M − ¯baM) + 4d 

3 (b ¯ M − ¯bM),

ξ3=q, Q

q ¯q a − ¯q, Q

q ¯q ¯a = 4e 

3 (¯a¯M − aM) + 4f 

3 ( ¯M − M),

ξ4=q, Q

q ¯q b − ¯q, Q

q ¯q ¯b = 4e 

3 (b ¯a¯M − ¯baM) + 4f 

3 (b ¯ M − ¯bM).

Then,

Q w20¯q=



k=1



Q 1k

w20¯q

Q 2k

w20¯q

 sinx

sin

(2k − 1)x



Q10

w20¯q

Q20

w20¯q

 sin2x



=



k=1



f uu w 1k

20+ f uv ¯bw 1k

20+ f uv w 2k

20

g uu w 1k

20+ g uv ¯bw 1k

20+ g uv w 2k

20+ g vv ¯bw 2k

20

 sinx

sin

(2k − 1)x



+



f uu w10

20+ f uv ¯bw10

20+ f uv w20

g uu w1020+ g uv ¯bw10

20+ g uv w20+ g vv ¯bw20

 sin2x

,

Q w11q=



k=1



Q 1k

w11q

Q 2k

w11q

 sinx

sin

(2k − 1)x



Q10

w11q

Q20

w11q

 sin 2x

,

=



k=1



f uu w 1k

11+ f uv bw 1k

11+ f uv w 2k

11

g uu w 1k11+ g uv bw 1k11+ g uv w 2k11+ g vv bw 2k11

 sinx

sin

(2k − 1)x



+



f uu w10

11+ f uv bw10

11+ f uv w20 11

g w10+ g bw10+ g w20+ g bw20

 sin2x

,

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w 1k20 =



k=1

−8(2iω − a22+ d2μ 2k−1)c + a12d) (4k2− 1)(2k − 3)(α 2k−1

1 + i α 2k−1

2 )π, k = 1, 2, ,

w 2k20 =



k=1

−8(a21c + (2iω − a11+ d1μ 2k−1 )d) (4k2− 1)(2k − 3)(α 2k−1

1 + i α 2k−1

2 )π, k = 1, 2, ,

w 1k11 =



k=1

−8(−(a22− d2μ 2k−1 )e + a12f )

α 2k−1

3 (4k2− 1)(2k − 3)π , k = 1, 2, ,

w 2k11 =



k=1

−8(a21e − (a11− d1μ 2k−1)f )

α32k−1 (4k2− 1)(2k − 3)π , k = 1, 2, ,

and

w1020= (2i ω − a22+ d2μ1)ξ1+ a12ξ2

α1

1+ i α1 2

, w2020= a21ξ1+ (2i ω − a11+ d1μ1)ξ2

α1

1+ i α1 2

,

w1011= −(a22− d2μ1)ξ3+ a12ξ4

α1 , w2011 = a21ξ3− (a11− d1μ1)ξ4

Notice that

 0

sin4(x/ )dx =3

8 ,

 0

sin2(x/ ) sin((2k − 1)x/)dx = −4

(2k − 1)(2k + 1)(2k − 3),

we have

q, C

qq ¯q = 3 ¯Mhπ

q, Q

w20¯q =



k=1

−4 ¯M (2k − 1)(2k + 1)(2k − 3)(¯aQ 1k w20¯q + Q 2k w20¯q)

+4M

3 (¯aQ10w20¯q + Q20w20¯q),

q, Q

w11q =∞

k=1

−4 ¯M (2k − 1)(2k + 1)(2k − 3)(¯aQ 1k w11q + Q 2k w11q) +4M

3 (¯aQ10

w11¯q + Q20w11¯q).

Hence, we have

g20=q, Q

qq = 4 ¯M

3 (¯ac + d),

g11=q, Q q ¯q = 4 ¯M

3 (¯a∗e + f ),

g02=q, Q ¯qq = 4 ¯M

3 (¯a¯c + ¯d),

Trang 10

g21= 2q, Q

w11q + q, Q

w20¯q + q, C

qq ¯q

=



k=1

−4 ¯M((2Q 1k

w11q + Q 1k w

20¯q)¯a∗

n + (2Q 2k w11q + Q 2k w

20¯q)) (2k − 1)(2k + 1)(2k − 3)

+4 ¯M((2Q10

w11q + Q10w

20¯q)¯a∗+ (2Q20

w11q + Q20w

20¯q))

3 ¯Mhπ

Then, it follows that

c1= i

2ω (g20g11− 2|g11|2−1

3|g02|2) +1

2g21

= 82i

9ω[ ¯M2(¯ac + d)( ¯ae + f ) − 2|M|2|¯ae + f|2−

1

3|M|2|¯ac + d|2] +



k=1

−2 ¯M((2Q 1k

w11q + Q 1k w

20¯q)¯a∗

n + (2Q 2k

w11q + Q 2k w

20¯q)) (2k − 1)(2k + 1)(2k − 3)

+2 ¯M((2Q10

w11q + Q10w

20¯q)¯a+ (2Q20

w11q + Q20w

20¯q))

3 ¯Mhπ

Theorem 2.7 Suppose the conditions in Theorem 2.7 are satisfied Then, the positive constant equilibrium E1 is asymptotically stable when λ ∈ (λ1, ¯λ) Hopf bifurcation

occurs at l1, and the bifurcating periodic solutions are in the left(right) neighborhood of

l1 and stable(unstable) if Re(c1) < 0(> 0)

Example 2.8 Suppose ℓ = 1(i e Ω = (0, π)) d1 = 1/10, d2 = 3/10, z1 = z2= 1, z3 = 3/2 and c11 = 1/3 Let c22be the bifurcation parameter We found that there has only

one Hopf bifurcation point l = 0.0833 E1 is stable for 0.0833 <l < 1.1667 For l <

0.0833, Hopf bifurcation occurs and the bifurcating periodic solutions are stable In

other words, c22= 0.9167 is the critical value for Hopf bifurcation We give the

simula-tion for c220.9167 ± 0.02 in the follows If c22= 0.9167 - 0.02, E1is stable (Figure 1) If

c22= 0.9167 + 0.02, there exists periodic solution, which is stable (Figure 2)

3 Conclusion

In this article, we take l as a main bifurcation parameter, study stability of the

con-stant positive equilibrium E1, which exists for λ ∈ (0, ¯λ) The critical values for Hopf

0

2

4 0

100 200

3000 0.5 1

Distance x

u(x,t)

2

4 0

100 200

3000 0.5 1 1.5

Distance x

v(x,t)

Time t Figure 1 E is asymptotically stable for c = 0.9167 - 0.02 The initial value is (u , v ) = (0.1, 0.2) * sin x.

... w11=−[L(λ1)]−1H11

Trang 8

Clearly, the calculation of (2iωI...

0 ¯u T vdx, u, v ∈ X

Trang 7

be the inner dot and< /p>

a =...

− (a< /small>22− d2μ1 )ξ3+ a< /small>12ξ4

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